Ahsan Amin
Community@mahsanamin
Server Backend, PHP, Java, NodeJS, Code Architect, Flow Expert, Teams Manager.
Agent Skills by Ahsan Amin
Showing 39 vetted skills indexed across 2 GitHub repositories.
ar-self-reviewer
Reviews Agentic Repos framework PRs for project-specific noise leaking into generic artifacts.
ar-install
Adopts a repository for AI assistants by extracting codebase conventions into per-repo config and coding rules.
ar-install-context
Installs context-processing command templates into a Docs Project directory.
ar-add-improvement
Applies framework improvements with version bumping, CHANGELOG updates, and cross-file consistency validation.
ar-install-tools
Installs the global Agentic Repos layer by running the framework's install.sh script.
ar-global-pr-reviewer
Reviews any GitHub pull request remotely by cloning the repo, running tests, and posting inline findings.
ar-taskflow
Guides structured development from raw prompt through planning, coding, and PR creation.
ar-taskflow-fix-comments
Aggregate and fix PR feedback from SonarQube, CodeRabbit, and human reviewers in priority order.
ar-record-improvement
Record framework improvement suggestions as structured Markdown files in a shared improvements directory.
ar-taskflow-resume
Resumes an interrupted coding task by restoring phase state, branch, and verification baseline.
ar-optimizer
Audit and optimize AI rule files for redundancies, conflicts, staleness, and bloat.
ar-agent-ready
Extracts repository conventions into rule files and reports an agent-readiness scorecard.
ar-api-dd-compare
Audit code assumptions against production Datadog traces and generate fix tickets.
ar-dd-api-performance
Scan Datadog APM traffic to detect slow APIs and maintain per-endpoint optimization reports.
ar-taskflow-planner
Plan large features into specs, tickets, and sequential PR-sized prompts.
ar-optimize-docs
Audit project documentation against code, remove stale content, and install rules preventing re-bloat.
ar-taskflow-review
Reviews branch diffs against project coding rules and tracks review iterations.
ar-init-mcps
Configure issue-tracker integration for Claude Code via gh CLI or MCP servers.
ar-optimize-doc-comments
Audit and repair doc comments by verifying documented names against real code signatures.
ar-ticket-creator
Creates one PR-sized ticket in the project's configured issue tracker from current work.
ar-sonar-sweep
Fixes a project's whole SonarQube backlog in bounded, reviewable per-file batches.
ar-taskflow-remember
Restores task context mid-session by re-reading task-flow skill and task state files.
ar-optimize-tests
Audit a test suite's cost by classifying test classes by execution layer and applying mechanical fixes.
ar-taskflow-progress-fixer
Reconcile task workspace artifacts against actual git and GitHub state.
Frequently Asked Questions About Ahsan Amin
FAQPage SchemaWhat tasks can I accomplish with Ahsan Amin's Agentic Repos skills?▼
You can run a structured prompt-to-PR lifecycle, review pull requests against project coding rules, generate commit messages, sweep SonarQube backlogs in batched PRs, audit docs and test suites for bloat, create issue-tracker tickets, and produce evidence-grounded weekly status reports.
Who are these skills designed for?▼
Server backend engineers, code architects, and team leads working in PHP, Java, or NodeJS repositories. They suit developers who want enforced coding standards, tractable PR review, and managers needing defensible status reporting from task-tracking artifacts.
How do I install and run the Agentic Repos framework?▼
Run ar-install-tools to set up the global layer on your machine, then ar-install inside a project to extract its real conventions into a per-repo config and rules layer. Individual skills are invoked by name, such as 'ar-taskflow' or 'sonar sweep'.
What prerequisites and dependencies do these skills require?▼
Skills run inside Claude Code with the ~/.claude/skills/ directory. GitHub Issues integration requires an authenticated gh CLI; Jira or Linear require a Model Context Protocol server via ar-init-mcps. Datadog audits need interactively authenticated Datadog MCP access.
How is the framework itself kept clean and versioned?▼
The ar-self-reviewer vets framework PRs for project-specific noise before merge, ar-add-improvement handles version bumps and CHANGELOG updates, and ar-upgrade refreshes an adopted project's rules layer to the current framework version.